{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "data breach", "trigger": true, "arguments": ["number of data", "tool", "place", "attack pattern", "time", "attacker", "compromised data", "damage amount"]}, {"event_type": "phishing", "trigger": true, "arguments": ["trusted entity", "purpose", "tool", "attack pattern", "victim", "time", "place", "attacker", "damage amount"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "releaser", "patch number", "vulnerable system version", "vulnerability", "supported platform", "issues addressed"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "price", "tool", "victim", "payment method", "attack pattern"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "time", "vulnerable system", "vulnerable system version", "vulnerable system owner", "common vulnerabilities and exposures"]}], "input": "Attackers did n't deliver malware but lured victims away on a remote site designed to phish Google , Dropbox , and LinkedIn credentials ."}
{"data breach": [], "phishing": [{"trigger": "lured", "arguments": {"trusted entity": "NAN", "purpose": "phish Google , Dropbox , and LinkedIn credentials", "tool": "NAN", "attack pattern": "NAN", "victim": "victims", "time": "NAN", "place": "NAN", "attacker": "Attackers", "damage amount": "NAN"}}], "patch vulnerability": [], "ransom": [], "discover vulnerability": []}